Dynamic Learning Models Within Cognitive Diagnosis Framework to Quantify Heterogeneous Learning Effectiveness

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Abstract

This study proposed two dynamic learning models to quantify heterogeneous contributions from different learning materials. We also explored the appropriate learning design considering the effect of different factors on proposed models’ performance. The preliminary results indicate the compressed model fits better and materials measuring a single skill are more effective.

Authors

• Yanyan Tan

• Shiyu Wang